Foundations.
Generalisations.
Modelling.
Inference.
Remodelling.
Appendices.
References.
Indexes.
About the Authors Jose M. Bernardo received his PhD from University College London and has subsequently been at the University of Valencia, Spain, where he is currently Professor of Statistics and special scientific advisor to the Governor of the State of Valencia. Adrian F. M. Smith received his PhD from University College London and is currently at Imperial College London, where he is Professor of Statistics and Head of the Department of Mathematics
"an excellent primary source for those who wish to learn about
thelearning and decision process in a situation of
uncertainty..."(Measurement Science Technology, February 2001)
"an ideal source for all students and researchers in
statisticsmathematics, decision analysis, economic and business
studies andall branches of science and engineering who wish to
further theirunderstanding of Bayesian statistics." (Zentralblatt
Fur Didaktikder Mathematik)
"...Bayesians will find it indispensable: non-Bayesians will
find,and enjoy, much thought-provoking material to challenge
theirorthodoxy...." (The Statistician, Vol.51, No.2, 2002)
Ask a Question About this Product More... |